Difference between revisions of "SOCR EduMaterials AnalysisActivities FlignerKilleen"

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== SOCR Analyses Example on Fligner-Killeen Non-parametric Test. ==
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==[[SOCR_EduMaterials_AnalysesActivities | SOCR Analysis Activities]] - Fligner-Killeen Non-parametric Test==
  
 +
===Overview of the test Fligner-Killeen===
 +
The [[AP_Statistics_Curriculum_2007_NonParam_VarIndep | Fligner-Killeen test]] is a non-parametric test comparing whether k samples have equal variances. Some alternative statistical tests, for example the  [[EBook#Chapter_XI:_Analysis_of_Variance_.28ANOVA.29 | analysis of variance]], assume that variances are equal across groups or samples.
  
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This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''InsectSprays'''.
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===Examples===
  
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In this dataset, there are two variables: count, which is quantitative, and '''spray''' , a factor of six groups, denoted by '''A''' to '''F'''.
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====Example 1====
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Go to the [http://www.socr.ucla.edu/htmls/ana/FlignerKilleen_Analysis.html SOCR Fligner-Killeen Non-parametric Test Applet]. This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is [http://projetos.inpa.gov.br/i3geo/pacotes/r/win/library/datasets/html/InsectSprays.html InsectSprays]. In [[SOCR_EduMaterials_AnalysisActivities_FlignerKilleen#InsectSprays_dataset | this dataset]], there are two variables: count, which is quantitative, and '''spray''', a factor of six groups, denoted by '''A''' to '''F'''. Here are the analysis steps for this example:
  
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The analysis steps:
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* As you start the [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses Applet], click on '''Fligner-Killeen Test''' from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.
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'''1.''' As you start the SOCR Analyes Applet, click on '''Fligner-Killeen Test''' from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.
 
  
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]</center>
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]</center>
  
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* Click on the '''Mapping''' tab to map the groups you would like to include in the analysis. Select at least two groups.
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'''2.''' Click on the '''Mapping''' tab to map the groups you would like to include in the analysis. Select at least two groups.
 
  
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig2.gif|700px]]</center>
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig2.gif|700px]]</center>
  
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* Now you will click on '''Compute''' to let the program produce the results. Click on '''Result''' to view the results.
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'''3.''' Now you will click on '''Compute''' to let the program produce the results. Click on '''Result''' to view the results.
 
  
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig3.gif|700px]]</center>
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig3.gif|700px]]</center>
  
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: '''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.
  
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===[http://biology.leidenuniv.nl/~zandee/statistiek/Rweb/R-graphics.html InsectSprays dataset]===
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<center>
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{| class="wikitable" style="text-align:center; width:75%" border="1"
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|-
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|Index|| count|| spray
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|-
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|1|| 10|| A
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|-
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|2||  7|| A
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|-
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|3|| 20|| A
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|-
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|4|| 14|| A
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|-
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|5|| 14|| A
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|-
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|6|| 12|| A
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|-
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|7|| 10|| A
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|-
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|8|| 23|| A
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|-
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|9|| 17|| A
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|-
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|10|| 20|| A
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|-
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|11|| 14|| A
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|-
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|12|| 13|| A
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|-
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|13|| 11|| B
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|-
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|14|| 17|| B
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|-
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|15|| 21|| B
 +
|-
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|16|| 11|| B
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|-
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|17|| 16|| B
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|-
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|18|| 14|| B
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|-
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|19|| 17|| B
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|-
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|20|| 17|| B
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|-
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|21|| 19|| B
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|-
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|22|| 21|| B
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|-
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|23|| 7|| B
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|-
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|24|| 13|| B
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|-
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|25|| 0|| C
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|-
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|26|| 1|| C
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|-
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|27|| 7|| C
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|-
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|28|| 2|| C
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|-
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|29|| 3|| C
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|-
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|30|| 1|| C
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|-
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|31|| 2|| C
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|-
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|32|| 1|| C
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|-
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|33|| 3|| C
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|-
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|34|| 0|| C
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|-
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|35|| 1|| C
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|-
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|36|| 4|| C
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|-
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|37|| 3|| D
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|-
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|38|| 5|| D
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|-
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|39|| 12|| D
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|-
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|40|| 6|| D
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|-
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|41|| 4|| D
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|-
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|42|| 3|| D
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|-
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|43|| 5|| D
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|-
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|44|| 5|| D
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|-
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|45|| 5|| D
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|-
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|46|| 5|| D
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|-
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|47|| 2|| D
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|-
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|48|| 4|| D
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|-
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|49|| 3|| E
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|-
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|50|| 5|| E
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|-
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|51|| 3|| E
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|-
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|52|| 5|| E
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|-
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|53|| 3|| E
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|-
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|54|| 6|| E
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|-
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|55|| 1|| E
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|-
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|56|| 1|| E
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|-
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|57|| 3|| E
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|-
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|58|| 2|| E
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|-
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|59|| 6|| E
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|-
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|60|| 4|| E
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|-
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|61|| 11|| F
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|-
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|62|| 9|| F
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|-
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|63|| 15|| F
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|-
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|64|| 22|| F
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|-
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|65|| 15|| F
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|-
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|66|| 16|| F
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|-
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|67|| 13|| F
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|-
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|68|| 10|| F
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|-
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|69|| 26|| F
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|-
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|70|| 26|| F
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|-
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|71|| 24|| F
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|-
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|72|| 13|| F
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|}
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</center>
  
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'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.
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===See also===
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* The [[AP_Statistics_Curriculum_2007_NonParam_VarIndep | Fligner-Killeen section]] of the [[EBook | SOCR EBook]].
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* [[SOCR_EduMaterials_AnalysesCommandLineFlignerKilleen | Command-line driven execution of Fligner-Killeen Test]].
  
 
<hr>
 
<hr>
  
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysisActivities_Survival}}
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysisActivities_FlignerKilleen}}

Latest revision as of 20:20, 12 June 2009

SOCR Analysis Activities - Fligner-Killeen Non-parametric Test

Overview of the test Fligner-Killeen

The Fligner-Killeen test is a non-parametric test comparing whether k samples have equal variances. Some alternative statistical tests, for example the analysis of variance, assume that variances are equal across groups or samples.

Examples

Example 1

Go to the SOCR Fligner-Killeen Non-parametric Test Applet. This example is based on a dataset from the R package under the library MASS. The dataset's name is InsectSprays. In this dataset, there are two variables: count, which is quantitative, and spray, a factor of six groups, denoted by A to F. Here are the analysis steps for this example:

  • As you start the SOCR Analyses Applet, click on Fligner-Killeen Test from the combo box in the left panel. Next, click on Example 2 and then the Data tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.
Error creating thumbnail: File missing
  • Click on the Mapping tab to map the groups you would like to include in the analysis. Select at least two groups.
SOCR AnalysisActivities Survival Chu 081015 Fig2.gif
  • Now you will click on Compute to let the program produce the results. Click on Result to view the results.
SOCR AnalysisActivities Survival Chu 081015 Fig3.gif
Note: if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

InsectSprays dataset

Index count spray
1 10 A
2 7 A
3 20 A
4 14 A
5 14 A
6 12 A
7 10 A
8 23 A
9 17 A
10 20 A
11 14 A
12 13 A
13 11 B
14 17 B
15 21 B
16 11 B
17 16 B
18 14 B
19 17 B
20 17 B
21 19 B
22 21 B
23 7 B
24 13 B
25 0 C
26 1 C
27 7 C
28 2 C
29 3 C
30 1 C
31 2 C
32 1 C
33 3 C
34 0 C
35 1 C
36 4 C
37 3 D
38 5 D
39 12 D
40 6 D
41 4 D
42 3 D
43 5 D
44 5 D
45 5 D
46 5 D
47 2 D
48 4 D
49 3 E
50 5 E
51 3 E
52 5 E
53 3 E
54 6 E
55 1 E
56 1 E
57 3 E
58 2 E
59 6 E
60 4 E
61 11 F
62 9 F
63 15 F
64 22 F
65 15 F
66 16 F
67 13 F
68 10 F
69 26 F
70 26 F
71 24 F
72 13 F

See also

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